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Research on Using PSO Algorithm to optimize Controlling of Regenerative Braking Force Distribution in Automobile

机译:使用PSO算法优化汽车再生制动力分布的研究

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This study will analyze the optimization algorithms used in the optimization control of regenerative braking force distribution in automobile. Through these analyses, the PSO algorithm has been used to control the regenerative braking force distribution and mechanical braking force with a multi-objective function that is to maximize recovered energy and ensure braking stability. The simulation calculations are performed by MathLAB based on Toyota Hiace parameters with the traditional powertrain. Research results show that the fuel consumption rate of vehicles equipped energy recovery system after optimization can be improved from 10.49% to 24.44% depending on different driving cycles.
机译:本研究将分析汽车在汽车再生制动力分布的优化控制中使用的优化算法。通过这些分析,PSO算法已经用于控制再生制动力分布和机械制动力,具有多目标函数,即最大化回收的能量并确保制动稳定性。 Mathlab基于Toyota HIACE参数与传统动力总成进行了模拟计算。研究结果表明,根据不同的驱动循环,优化后,可在优化后的能量回收系统的燃料消耗率可从10.49%提高。

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